ACV Auctions Q2 adjusted core profit beats, partly on Marketplace Services strength

ACV Auctions

10/08/2026 21:21

Overview
US digital auto marketplace's Q2 revenue grew 10% yr/yr to record level
Q2 adjusted EBITDA beat analyst expectations
Company reaffirmed 2026 guidance amid dealer wholesale market headwinds

Outlook
ACV sees Q3 revenue of $219 mln to $225 mln and adjusted EBITDA of $21 mln to $24 mln
Company reaffirms 2026 revenue guidance of $845 mln to $855 mln and adjusted EBITDA of $73 mln to $77 mln
Company expects dealer wholesale market to stabilize in the second half of 2026

Result Drivers
MARKET SHARE GAINS - Co said Q2 results were driven by market share gains in dealer wholesale
SERVICE ADOPTION - Strong adoption of Marketplace Services contributed to revenue growth
AI SOLUTIONS EXPANSION - Continued expansion of AI-powered dealer solutions, including VIPER, supported wallet share expansion and unit growth

Company press release: ID:nBw5qFxCwa

Key Details
Metric
Beat/Miss
Actual
Consensus Estimate
Q2 Net Loss
 
$8.23 mln
 
Q2 Adjusted EBITDA
Beat
$21 mln
$18.93 mln (11 Analysts)
Q2 Loss Per Basic Share
 
$0.05
 
Q2 Operating Expenses
 
$219.99 mln
 
Q2 Operating Income
 
-$6.05 mln
 
Q2 Pretax Loss
 
$7.68 mln
 

Analyst Coverage
The current average analyst rating on the shares is "buy" and the breakdown of recommendations is 8 "strong buy" or "buy", 4 "hold" and 1 "sell" or "strong sell"
The average consensus recommendation for the online services peer group is "buy"
Wall Street's median 12-month price target for ACV Auctions Inc. is $9.00, about 20.6% above its August 7 closing price of $7.46

Reuters Recommended Reads
Aug 10 - Motorcar Parts of America Q1 sales fall; reaffirms FY outlook
Aug 10 - inTEST slightly beats Q2 revenue estimates on auto/EV growth, keeps FY revenue  view

For questions concerning the data in this report, contact Estimates.Support@lseg.com. For any other questions or feedback, contact reuters.support@thomsonreuters.com.

(This story was created using Reuters automation and AI based on LSEG and company data. It was checked and edited by a Reuters journalist prior to publication.)